


'''simple docstring'''



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowercase      :		List[str]			=      logging.get_logger(__name__)

__lowercase      :		int			=      {
    'facebook/xmod-base': 'https://huggingface.co/facebook/xmod-base/resolve/main/config.json',
    'facebook/xmod-large-prenorm': 'https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json',
    'facebook/xmod-base-13-125k': 'https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json',
    'facebook/xmod-base-30-125k': 'https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json',
    'facebook/xmod-base-30-195k': 'https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json',
    'facebook/xmod-base-60-125k': 'https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json',
    'facebook/xmod-base-60-265k': 'https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json',
    'facebook/xmod-base-75-125k': 'https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json',
    'facebook/xmod-base-75-269k': 'https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json',
}





class 				__UpperCamelCase							(						snake_case_   ):
	A_           =       'xmod'




	def __init__(  self		,							__a=3_0522		,							__a=768		,							__a=12		,							__a=12		,							__a=3072		,							__a="gelu"		,							__a=0.1		,							__a=0.1		,							__a=512		,							__a=2		,							__a=0.02		,							__a=1E-1_2		,							__a=1		,							__a=0		,							__a=2		,							__a="absolute"		,							__a=True		,							__a=None		,							__a=False		,							__a=2		,							__a=False		,							__a=True		,							__a=True		,							__a=("en_XX",)		,							__a=None		,							**__a		,							):

						'''simple docstring'''





						super().__init__(pad_token_id=lowerCAmelCase__		,							bos_token_id=lowerCAmelCase__		,							eos_token_id=lowerCAmelCase__		,							**lowerCAmelCase__				)

						__a     :			int          =    vocab_size
						__a     :			List[Any]          =    hidden_size
						__a     :			str          =    num_hidden_layers
						__a     :			Any          =    num_attention_heads
						__a     :			List[str]          =    hidden_act
						__a     :			Optional[int]          =    intermediate_size
						__a     :			Tuple          =    hidden_dropout_prob
						__a     :			int          =    attention_probs_dropout_prob
						__a     :			Tuple          =    max_position_embeddings
						__a     :			List[str]          =    type_vocab_size
						__a     :			Any          =    initializer_range
						__a     :			Optional[int]          =    layer_norm_eps
						__a     :			Optional[Any]          =    position_embedding_type
						__a     :			List[Any]          =    use_cache
						__a     :			List[Any]          =    classifier_dropout
						__a     :			Tuple          =    pre_norm
						__a     :			List[Any]          =    adapter_reduction_factor
						__a     :			Optional[Any]          =    adapter_layer_norm
						__a     :			Tuple          =    adapter_reuse_layer_norm
						__a     :			List[str]          =    ln_before_adapter
						__a     :			Optional[Any]          =    list(lowerCAmelCase__				)
						__a     :			List[str]          =    default_language





class 				__UpperCamelCase							(						snake_case_   ):




	@property
	def  __UpperCAmelCase				(  self				):

						'''simple docstring'''





						if self.task == "multiple-choice":
											__a     :			List[str]          =    {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
						else:
											__a     :			Tuple          =    {0: '''batch''', 1: '''sequence'''}
						return OrderedDict(
						    [
						        ('input_ids', dynamic_axis),
						        ('attention_mask', dynamic_axis),
						    ]				)








'''simple docstring'''



from collections import defaultdict
def        UpperCAmelCase (    A	:					int					):
							SCREAMING_SNAKE_CASE       :   List[Any]         =      1
							SCREAMING_SNAKE_CASE       :   Dict         =      True
							for v in tree[start]:
														if v not in visited:
																					ret += dfs(A					)
							if ret % 2 == 0:
														cuts.append(A					)
							return ret
def        UpperCAmelCase (    ):
							dfs(1					)


if __name__ == "__main__":
							lowerCAmelCase_      ,				lowerCAmelCase_  :							Dict             =    10, 9
							lowerCAmelCase_  :							Dict             =    defaultdict(list)
							lowerCAmelCase_  :							dict[int, bool]             =    {}
							lowerCAmelCase_  :							list[int]             =    []
							lowerCAmelCase_  :							Optional[Any]             =    0
							lowerCAmelCase_  :							Dict             =    [(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (10, 8)]
							for u, v in edges:
														tree[u].append(v)
														tree[v].append(u)
							even_tree()
							print(len(cuts) - 1)




